Doc BTree better, #[inline] everything, and add some iteration benches

I previously avoided `#[inline]`ing anything assuming someone would come in and explain to me where this would be appropriate. Apparently no one *really* knows, so I'll just go the opposite way an inline everything assuming someone will come in and yell at me that such-and-such shouldn't be `#[inline]`.

==================

For posterity, iteration comparisons:

```
test btree::map::bench::iter_20                            ... bench:       971 ns/iter (+/- 30)
test btree::map::bench::iter_1000                          ... bench:     29445 ns/iter (+/- 480)
test btree::map::bench::iter_100000                        ... bench:   2929035 ns/iter (+/- 21551)

test treemap::bench::iter_20                               ... bench:       530 ns/iter (+/- 66)
test treemap::bench::iter_1000                             ... bench:     26287 ns/iter (+/- 825)
test treemap::bench::iter_100000                           ... bench:   7650084 ns/iter (+/- 356711)

test trie::bench_map::iter_20                              ... bench:       646 ns/iter (+/- 265)
test trie::bench_map::iter_1000                            ... bench:     43556 ns/iter (+/- 5014)
test trie::bench_map::iter_100000                          ... bench:  12988002 ns/iter (+/- 139676)
```

As you can see `btree` "scales" much better than `treemap`. `triemap` scales quite poorly.

Note that *completely* different results are given if the elements are inserted in order from the range [0, size]. In particular, TrieMap *completely* dominates in the sorted case. This suggests adding benches for both might be worthwhile. However unsorted is *probably* the more "normal" case, so I consider this "good enough" for now.

===========

Effects of inlining (no iter numbers because of changed bench after taking baseline results):

test treemap::bench::find_rand_100                         ... bench:        76 ns/iter (+/- 4)
test treemap::bench::find_rand_10_000                      ... bench:       163 ns/iter (+/- 5)
test treemap::bench::find_seq_100                          ... bench:        76 ns/iter (+/- 2)
test treemap::bench::find_seq_10_000                       ... bench:       115 ns/iter (+/- 1)
test treemap::bench::insert_rand_100                       ... bench:       113 ns/iter (+/- 7)
test treemap::bench::insert_rand_10_000                    ... bench:       987 ns/iter (+/- 22)
test treemap::bench::insert_seq_100                        ... bench:       511 ns/iter (+/- 23)
test treemap::bench::insert_seq_10_000                     ... bench:       851 ns/iter (+/- 20)

## Before 
test btree::map::bench::find_rand_100                      ... bench:        71 ns/iter (+/- 5)
test btree::map::bench::find_rand_10_000                   ... bench:       152 ns/iter (+/- 4)
test btree::map::bench::find_seq_100                       ... bench:        80 ns/iter (+/- 2)
test btree::map::bench::find_seq_10_000                    ... bench:       104 ns/iter (+/- 1)
test btree::map::bench::insert_rand_100                    ... bench:       250 ns/iter (+/- 1)
test btree::map::bench::insert_rand_10_000                 ... bench:       667 ns/iter (+/- 5)
test btree::map::bench::insert_seq_100                     ... bench:       455 ns/iter (+/- 4)
test btree::map::bench::insert_seq_10_000                  ... bench:       600 ns/iter (+/- 11)

## After
test btree::map::bench::find_rand_100                      ... bench:        74 ns/iter (+/- 4)
test btree::map::bench::find_rand_10_000                   ... bench:       154 ns/iter (+/- 5)
test btree::map::bench::find_seq_100                       ... bench:        83 ns/iter (+/- 2)
test btree::map::bench::find_seq_10_000                    ... bench:       108 ns/iter (+/- 1)
test btree::map::bench::insert_rand_100                    ... bench:       245 ns/iter (+/- 4)
test btree::map::bench::insert_rand_10_000                 ... bench:       624 ns/iter (+/- 13)
test btree::map::bench::insert_seq_100                     ... bench:       419 ns/iter (+/- 10)
test btree::map::bench::insert_seq_10_000                  ... bench:       542 ns/iter (+/- 4)

Significant insertion gains, no significant search change. Actual users should see huge benefits due to cross-crate effects of `#[inline]`.
see above (_O(B log<sub>B</sub>n)_)